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Geographical Analysis of Foreign Immigration and Spatial Patterns in Urban Areas: Density Estimation,Spatial Segregation and Diversity Analysis

机译:城市外来人口迁移和空间格局的地理分析:密度估计,空间隔离和多样性分析

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The paper is focused on the analysis of immigrant population and particularly on some of the characteristics of their spatial distribution in an urban environment. The attention is drawn on examining whenever there is a tendency to cluster in some parts of a city, with the risk of generating ethnic enclaves or ghettoes, therefore analysing also diversity other than the pure spatial distribution. Methods used in the past to measure segregation and other characteristics of immigrants have long been aspatial, therefore not considering relationships between people within a city. In this paper the attention is dedicated to methods to analyse the immigrant residential distribution spatially, with particular reference to density and diversity-based methods. The analysis is focused on the Municipality of Trieste (Italy) as a case study to test different methods for the analysis of immigration, and particularly to compare different indices, particularly traditional ones, as Location Quotients and the Index of Segregation, to different, spatial ones, based on Kernel Density Estimation functions, as the S index, and indices of diversity, as Shannon (SHDI) and Simpson (SIDI) ones as well as another diversity index proposed (IDiv). The different analysis and indices are performed and implemented in a GIS environment.
机译:本文重点是移民人口的分析,特别是在城市环境中的空间分布的一些特征上。每当一个城市的某些地区存在趋势时,会在审查中审查的注意力,具有产生民族的环境或稀疏的风险,因此分析除纯空间分布之外的不同之处。过去用于测量移民和移民的其他特征的方法长期以来一直是股票,因此不考虑城市内人之间的关系。本文在空间上专用于分析移民居民分布的方法,特别是对密度和基于多样性的方法的方法。该分析专注于里雅斯特(意大利)作为案例研究,以测试分析移民的不同方法,特别是比较不同的指数,特别是传统的指数,作为定位等分,对不同,空间基于内核密度估计函数的基础,作为分集的索引和分集指数,作为香农(SHDI)和SIMPSON(SIDI)以及另一种分集指数(IDIV)。在GIS环境中执行和实现不同的分析和指标。

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